Not exact matches
It speaks of operations research, systems analysis, technological forecasting, information theory, game theory, simulation techniques, decision theory, Delphi method, cross-impact matrix analysis,
statistical time - series, stochastic
models, linear programming, input - output economics, computer based command and
control systems, and so on.
Numerous conditions render a pregnancy «high - risk», and the attempt to
control for them all led to a
model containing 27 covariates, which introduced the possibility of
statistical problems such as collinearity.
The reliability and stability of these methods were described by Wu et al. 27 Illumina tag sequencing of the 16S rRNA gene V4 - V5 hypervariable region was performed at the Marine Biological Laboratory in Woods Hole, Massachusetts, using established methods.28, 29 Details of sequencing methods, quality
control and filtering, and
statistical modeling are presented in the eAppendix in the Supplement.
«If we know how genes
control drug response, we can create a
statistical model that shows us what will happen before using the drug,» said Wu, who is also a member of Penn State's Huck Institutes of the Life Sciences.
The
statistical model examined low -, moderate - and high - risk births from mothers supplemented with DHA during pregnancy as compared to placebo
controls.
The researchers used this information in
statistical models to compare the
control group — farmers who had never used the pesticide in question — to those who had used it, and to compare the frequency of either allergic or non-allergic wheeze.
Statistical group analyses were based on a factorial repeated ANOVA SPM8
model with two groups (marijuana abusers and
controls) and two conditions (placebo and MP) and a covariate [parts per million levels of carbon monoxide (CO), a marker for tobacco smoking (40)-RSB-.
My research combines the use of mathematical
models and
statistical methods to understand the transmission dynamics and
control of a range of infectious diseases of humans and animals.
Almost all
statistical tests for comparing
control vs condition style experiments (differential expression) use generalized linear
models assuming count data with these kinds of distributions.
In this article, we demonstrate that failing to consider plate effects in the
statistical model results in loss of type I error
control.
Third, in the
statistical models for their NAEP analysis, the authors use measures of student participation in government - sponsored programs as key
control variables.
As it turns out, the standard errors are larger, not smaller, when estimating
statistical models that include all students but do not
control for baseline test scores.
With value added, «
statistical models can
control for these demographic factors [that you cite above as issues].
Even when
statistical models try to
control for student - demographic variables, teachers are advantaged or disadvantaged based on the students they teach.
Student Growth Percentile (SGP): The SGP
model is traditionally not considered a VAM mainly because it does not use as many sophisticated
statistical controls.
This is in part because there are many other influences on student gains other than individual teachers, and in part because teachers» value - added ratings are affected by differences in the students who are assigned to them, even when
statistical models try to
control for student demographic variables.
Confounding might occur because the
statistical model doesn't measure or properly
control for all the factors that contribute to student achievement.
Third, value - added
models use
statistical controls to make allowances for students» backgrounds and abilities.
Value - added
models are
statistical models that generally try to isolate the contributions to student test scores by individual teachers or schools from factors outside the school's or teacher's
control.
While some research suggests value - added
models are subject to bias and
statistical limitations, [2] rich data and strong
controls can eliminate error and bias.
I would add poor understanding of appropriate
statistical methods, inattention to scale issues, and lack of existing, appropriate empirical data with which to test proposed
models, the latter usually being beyond the
control of the researcher.
The raw MIT
model, observational and AOGCM
control run data was processed to match the specifications of the three diagnostics before the
statistical inference methods were applied.
The revised
model represented
statistical relationships between annual runoff and winter precipitation, forest basal area reductions and time since treatment, but these relationships were not necessarily related to physical processes or functions that
control water balance [20].
Akaike, H 1974, «A new look at the
statistical model identification», IEEE Transactions on Automatic
Control, vol.
Two separate moderated regression
models were tested for each indicator of quality of life using the SPSS 17.0
statistical software package; one
model tested the moderating role of marital quality in the effects of self - reported (subjective) vision
controlling for visual acuity (objective vision) and the second tested the same in the effects of objective vision
controlling for subjective vision.
The best - fitting estimates of the sibling
control and
statistical covariate
model are based on parameter estimates from
model 4.
To determine which risk and resistance variables independently predicted metabolic
control, we entered the
statistical control variables followed by self - care behavior and the three significant psychosocial predictors (friend support, drive for thinness by sex, and parent relationship by sex) into a single
model to predict metabolic
control.